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Harvey

Engineering Manager, Agents — SF

San FranciscoUnited States
Manager · FullTime · Engineering
POSTED 12 NOVVERIFIED 29M AGO
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Role
0 days opentrue age
Closes in ~37d at the median (37d)
Posted 12 Nov · n=54
Payats field
$260k–330kposted
▲ +13% vs market median $262k
$239k$332k
Market p25–p75
$239k–$300k
Harvey p25–p75
$252k–$332kn=3
SF Bay Area · n=238 · 365d to 11 Nov
CompanyHarvey →
379open roles
Opened · 30d
+39
Closed · 30d
−51
11d of snapshots · 30d window
Market
1,954open · Manager Engineering management
Opened · 7d
+1387% of open
All engineering management
2,308open
All tracked boards · live 12 Nov · n=1,954

Why Harvey

At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.

At Harvey, the future of professional services is being written today — and we’re just getting started.

Role Overview

Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our product engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us.

Agents at Harvey let lawyers turn their expertise into reusable, automated work: custom agents and workflows that draft, review and analyze across a firm’s documents. The Agents team owns Agent Builder, the Agents experience, workflows and the foundations underneath them: orchestration, durable execution, permissions and reliability. Other Harvey products build on this platform as well.

As Engineering Manager, you’ll lead a large, senior team of full-stack and backend engineers through the shift from single-turn assistants to long-running, multi-agent systems that firms trust with their most sensitive work. This role is equal parts product judgment and systems depth.

We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you.

Why Now

Agents are how firms put Harvey to work: lawyers are turning their expertise into reusable agents and workflows that run across their documents and matters.

The work is moving from single-turn assistance to long-running, scheduled and multi-agent work. That demands durable execution, sandboxed tools and recovery from failure at scale.

Agents now reach deep into a firm’s most sensitive data, so permissions, tenant isolation and governance have to hold everywhere an agent can act.

Other Harvey products are building on this platform, so its quality and speed set the pace for much of the company.

We need a leader who can raise the bar on reliability and evaluation while the team keeps shipping quickly.

What You’ll Do

Lead the Agents engineering team, a group of senior full-stack and backend engineers building Agent Builder, the Agents experience, workflows and the runtime underneath them.

Own reliability and quality for agent and workflow execution, including on-call health, incident follow-through, SLOs and evals as part of how the team ships.

Set technical direction for orchestration, durable execution and agent composition, and stay close enough to the code to make sound architecture calls and unblock hard problems.

Hold a high bar on security and customer data boundaries, so permissions, isolation and admin controls are designed in from the start rather than patched later.

Partner with Product, Design and Data Science on what agents should do for lawyers. Work with Agent Platform, Infrastructure and Security on the shared foundations.

Shape how the team builds with AI coding agents: review practices, verification and test infrastructure that keep quality high as output grows.

Source · HarveyFirst seen 12 NovOriginal ↗